Embedded Engineering Teams places senior Ziverge engineers directly inside your organization, working through your existing tools, processes, and reporting structures to deliver outcomes alongside your team.
This is not staff augmentation or contract labor. It is deep integration with experienced engineers who take ownership of delivery, architecture, and quality as if they were full-time members of your organization.
You need to move faster, but recruiting, hiring, and onboarding senior engineers will take months you do not have. Delivery pressure is immediate, and waiting for full-time hires would stall critical roadmap commitments.
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Your roadmap depends on expertise your current team does not yet have, such as distributed systems, AI and machine learning, high-throughput data pipelines, or cloud-native architecture. You need engineers who can deliver immediately while raising the technical bar around them.
You want to improve engineering practices across the organization, including CI/CD, testing discipline, observability, and architectural decision-making. You are not just adding capacity; you are intentionally improving how engineering work gets done every day.
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Embedded engineers typically become productive within one to two weeks. They work inside your existing environment: your repositories, communication tools, planning rituals, and reporting structures. From day one, they align with your priorities rather than introducing parallel processes.
Ziverge engineers operate with a strong ownership mindset. They participate in planning, contribute to architectural decisions, write and review production code, and are accountable for outcomes rather than tasks. Delivery follows your execution model, whether Scrum, Kanban, or a bespoke approach, with consistent emphasis on quality and reliability.
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This model is fundamentally different from traditional staff augmentation. Ziverge engineers are not contractors waiting for tickets. They proactively identify risks, propose improvements, and help steer technical direction. The goal is not only to ship features, but to leave your team stronger than when we arrived.
We design and operate distributed systems using event-driven architectures, asynchronous processing, and resilience patterns that handle high throughput and failure gracefully. Our experience includes real-world concurrency, back-pressure, and fault tolerance in production environments.
Embedded engineers work on systems that incorporate machine learning and AI end to end, from data pipelines and model integration to production-grade serving infrastructure. We focus on making AI systems observable, reliable, and scalable in real usage.
We embed automated testing, CI/CD, observability, and cloud-native deployment into everyday work. Our teams operate across AWS, Azure, GCP, hybrid, and on-prem environments, working within your existing technology constraints rather than requiring wholesale rewrites.
Ziverge has embedded more than thirty senior engineers into enterprise and high-growth product teams, including Fortune 500 organizations. Embedded teams routinely become productive within one to two weeks, contribute to systems processing millions of requests daily in enterprise production environments, and help improve deployment frequency and operational reliability across client organizations.
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Within weeks, embedded engineers are unblocking critical initiatives and contributing meaningful production work. Over time, teams ship faster with fewer incidents, architectural decisions become clearer, and engineering practices mature across the organization. The outcome is not just additional capacity, but a stronger, more effective engineering organization.
Talk to a solutions architect to discuss your delivery challenges and determine whether embedded engineering teams are the right fit.
We will help you assess options and recommend a path forward, even if that recommendation is not to work with us.